Maxwell Welyhorsky
Papers
2
Total Citations
16
H-Index
2
About
Maxwell Welyhorsky is a robotics researcher specializing in teleoperated grasping, haptic feedback, and anthropomorphic robotic hand design. His work focuses on advancing semi-autonomous manipulation for robotic assistants and intelligent prosthetics, addressing critical challenges in unstructured environments. His most cited paper, "Teleoperated Grasping Using a Robotic Hand and a Haptic-Feedback Data Glove" (2020, 13 citations), introduces the "Ring Ada"—an open-source, tendon-driven robotic hand with 3D-printed rings that enhance compliant finger control. This design significantly improves postural synergy-based teleoperated grasping, offering a tactile-enabled solution for precise manipulation. In his subsequent work, "Neuro-Fuzzy Grasp Control for a Teleoperated Five Finger Anthropomorphic Robotic Hand" (2022, 3 citations), Welyhorsky tackles misaligned joint control in teleoperation, employing neuro-fuzzy systems to expand the range of manipulation tasks. His contributions bridge the gap between human dexterity and robotic precision, with potential applications in assistive technology and industrial automation. Welyhorsky’s innovative integration of haptic feedback and adaptive control positions him as a rising figure in robotic manipulation, making his research highly relevant for students and engineers exploring next-generation prosthetic and teleoperation systems.
Research Focus
Key Achievements
Top Papers
- 1Teleoperated Grasping Using a Robotic Hand and a Haptic-Feedback Data Glove13 citations · 2020
- 2